AIMC Topic: alpha-Fetoproteins

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Application of Machine Learning Techniques to Assess Alpha-Fetoprotein at Diagnosis of Hepatocellular Carcinoma.

International journal of molecular sciences
Hepatocellular carcinoma (HCC) is the most common primary liver tumor and is associated with high mortality rates. Approximately 80% of cases occur in cirrhotic livers, posing a significant challenge for appropriate therapeutic management. Adequate s...

Machine learning-based delta check method for detecting misidentification errors in tumor marker tests.

Clinical chemistry and laboratory medicine
OBJECTIVES: Misidentification errors in tumor marker tests can lead to serious diagnostic and treatment errors. This study aims to develop a method for detecting these errors using a machine learning (ML)-based delta check approach, overcoming limita...

MRI-based deep learning model for differentiation of hepatic hemangioma and hepatoblastoma in early infancy.

European journal of pediatrics
UNLABELLED: Hepatic hemangioma (HH) and hepatoblastoma (HBL) are common pediatric liver tumors and present with similar clinical manifestations with limited distinguishing value of serum AFP in early infancy. An accurate differentiation diagnostic to...

Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma.

World journal of surgical oncology
BACKGROUND: Preoperative prediction of microvascular invasion (MVI) is critical for treatment strategy making in patients with hepatocellular carcinoma (HCC). We aimed to develop a deep learning (DL) model based on preoperative dynamic contrast-enhan...

Role of α-fetoprotein in differentiation of regulatory T lymphocytes.

Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections
The effect of native α-fetoprotein (AFP) on the expression of T-regulatory lymphocyte (Treg) markers by activated CD4 lymphocytes with different proliferative status was studied. α-Fetoprotein did not affect the ratio of proliferating and non-prolife...

Photonic crystal fiber-based immunosensor for high-performance detection of alpha fetoprotein.

Biosensors & bioelectronics
We have developed a sensitive photonic crystal fiber (PCF)-based immunosensor for detection of alpha fetoprotein (AFP). The unique PCF possesses a morphology characterized by numerous pore structures and a large surface area-to-volume ratio, which ca...

A novel microchip electrophoresis-based chemiluminescence immunoassay for the detection of alpha-fetoprotein in human serum.

Talanta
A sensitive immunoassay method based on microchip electrophoresis chemiluminescence (MCE-CL) detection technology was developed for the detection of tumor marker alpha-fetoprotein (AFP). This method adopts the non-competitive immunoassay mode, and wa...

Intrahepatic bile duct adenoma in a patient with chronic hepatitis B accompanied by elevation of alpha-fetoprotein.

Clinical and molecular hepatology
A 51-year-old male patient with chronic hepatitis B was referred to our hospital due to a 1-cm liver nodule on ultrasonography. Alpha-fetoprotein (AFP) was slightly elevated. The nodule showed prolonged enhancement on dynamic liver magnetic resonance...

Influence of vascular endothelial growth factor and alpha-fetoprotein on hepatocellular carcinoma.

Genetics and molecular research : GMR
We evaluated the influence of the vascular endothelial growth factor (VEGF) -C936T polymorphism on prognosis of hepatocellular carcinoma (HCC), cirrhosis, and hepatitis C virus (HCV) infection. Serum VEGF and alpha-fetoprotein (AFP) levels were deter...

Leveraging SEER data through machine learning to predict distant lymph node metastasis and prognosticate outcomes in hepatocellular carcinoma patients.

The journal of gene medicine
OBJECTIVES: This study aims to develop and validate machine learning-based diagnostic and prognostic models to predict the risk of distant lymph node metastases (DLNM) in patients with hepatocellular carcinoma (HCC) and to evaluate the prognosis for ...